Manager, Machine Learning Engineering

Warner Bros. Discovery

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WASan Francisco, CANew York, NY
Employment
Full-time
Posted
123 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $234k
$174k $289k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $201,250–$267,050.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 58 open roles on FindRole.

Listed pay typically runs $132,300–$245,700 across 24 roles with salary data.

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At a glance

TL;DR · Manager, Machine Learning Engineering

The Manager, Machine Learning Engineering joins the Video AI & Studio AI team to lead a group of engineers in developing next-generation AI systems for video. This role involves hands-on modeling, prototyping, and production system development to enable scene understanding, metadata generation, visual effects, storyboarding, and color enhancement. You will drive the full machine learning lifecycle, from problem definition to deployment, while partnering with product and creative teams to deliver impactful features. The position requires expertise in computer vision, multimodal learning, and generative AI techniques like diffusion. Key technologies include PyTorch and TensorFlow, alongside experience with large-scale datasets and distributed systems. You will solve complex technical problems by building scalable, production-grade solutions that bridge the gap between research and real-world creative studio workflows.

What you'll do

  • Lead a team of machine learning engineers focused on video AI for understanding and creative applications.
  • Contribute directly to modeling, prototyping, and production systems for video AI.
  • Drive the full ML lifecycle including problem definition, modeling, evaluation, and deployment.
  • Build and scale production-grade ML systems for video understanding and creative workflows.
  • Partner with product, creative, and engineering teams to define priorities and deliver ML-powered features.
  • Provide technical leadership and mentorship to raise engineering practices and ML standards.
  • Collaborate with platform and infrastructure teams to ensure reliable and scalable solutions.

What we're looking for

  • 8+ years of experience in machine learning or software engineering with a focus on computer vision, video understanding, and gen AI.
  • 2+ years of experience leading or mentoring engineers, with a strong preference for hands-on leadership (preferred).
  • Strong experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Proven track record of building and deploying end-to-end ML systems in production.
  • Strong background in computer vision, video understanding, or multimodal systems.
  • Experience with large-scale datasets and distributed systems.
  • Experience with generative AI techniques such as diffusion and image/video generation.
  • Strong system design and architecture skills.

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